Multistage reliability-constrained stochastic planning of diamond distribution network: An approximate dynamic programming approach by Zhi Wu, Ao Li, Qirun Sun, Shu Zheng, Jingtao Zhao, Pengxiang Liu, Wei Gu

“…In order to solve the “curse of dimensionality” problem in multi-stage stochastic planning model, the approximate dynamic programming algorithm is used to solve it. The case study is based on the typical structure of the diamond distribution network and realistic data of an actual district in Shanghai, China. …”
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Automatic Closed-loop Test of Displayer Frequent Turning on and Turning off Based on Script Programming by XIA Yinbo, YANG Ying, WU Weizhen, REN Xianghui

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Drifting long-lived. To the 50th anniversary of the opening of the “North Pole -22” station by V. V. Lukin

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Providing Models of the Compressive Strength of Square and Rectangular (S/R) Concrete Confined Using Genetic Programming by Yaser Moodi

“…The accurate prediction of the compressive strength of FRP (Fiber-Reinforced Polymer)-confined is essential for structural engineers and designers. Several experimental studies have been conducted on concrete confined with FRP sheets. …”
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Quadratic unconstrained binary optimization and constraint programming approaches for lattice-based cyclic peptide docking by J. Kyle Brubaker, Kyle E. C. Booth, Akihiko Arakawa, Fabian Furrer, Jayeeta Ghosh, Tsutomu Sato, Helmut G. Katzgraber

“…Abstract The peptide-protein docking problem is an important problem in structural biology that facilitates rational and efficient drug design. …”
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What is the biggest motivator for 10 th-graders when learning programming? Case study in Vietnam by Hung Tran Van, Hoa Nguyen Thi, Kiet Tran Ly Anh, Kiet Nguyen Ba Tuan

“…Motivation is one of the important elements in the learning process, particularly for complex subjects like programming, which demand consistent engagement and strong problem-solving abilities. …”
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Adaptive dynamic programming optimal tracking control of multi-UAVs based on zero-sum game by Shuaibin Guan, Xingjian Fu

“…This paper investigates an adaptive dynamic programming (ADP) optimal tracking control algorithm for multi-UAV systems based on zero-sum game theory, addressing external disturbances during flight. …”
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Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming by Agrawal Priyanka, Thethi H. Pal, Mohammad Q., Gupta Navya, Asha V., Reddy K. Jyothsna

“…Using the AI approaches and the quadratic programming driven multiobjective optimisation, this paper proposes a universal framework for smart microgrid energy management. …”
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Laboratory Experiments on Performance Evaluation of Geocomposite Drainage Materials by Ayşe Özdoğan Dölçek

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Mixed-Integer Linear Programming Based Distribution Network Reconfiguration Model Considering Reliability Enhancement by Junpeng Zhu, Yi Zhou, Xiaofeng Dong, Li Zhou, Qiong Zhu, Yue Yuan

“…Accordingly, this paper proposes a reconfiguration method of distribution network considering the enhancement of reliability, which reconfigures the network structure both under normal operation conditions and outage scenarios, and considers factors such as power loss, load distribution and voltage quality considered in conventional reconfiguration methods. …”
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Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy by Roberta Papa, Francesco Balducci, Giulia Franceschini, Marco Pompili, Marco De Marco, Josep Roca, Rubèn González-Colom, David Monterde

“…AMG algorithm was applied and descriptive analysis performed. A dashboard structure was developed to exploit the results of the tool. …”
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ON THE PROBLEMS OF BILEVEL OPTIMIZATION UNDER RCPLD CONSTRAINT QUALIFICATIONS by L. I. Minchenko, S. I. Sirotko

“…Multilevel optimization problems often arise in various applications (in economics, ecology, power engineering and other areas) when modeling complex systems with a hierarchical structure associated with independent actions of subsystems. …”
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Correction: Senn et al. The Community Structure of eDNA in the Los Angeles River Reveals an Altered Nitrogen Cycle at Impervious Sites. <i>Diversity</i> 2023, <i>15</i>, 823 by Savanah Senn, Sharmodeep Bhattacharyya, Gerald Presley, Anne E. Taylor, Rayne Stanis, Kelly Pangell, Daila Melendez, Jillian Ford

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Evolutionary Search for Polynomial Lyapunov Functions: A Genetic Programming Method for Exponential Stability Certification by Roman Pykhnivskyi, Anton Ryzhov, Andrii Sobchuk, Yurii Kravchenko

“…The approach is based on genetic programming, a variant of genetic algorithms where the search space consists of hierarchical tree structures. …”
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The Technological Bridge: R Programming’s Utility in Converting Social Media Data for Quantitative Financial Analysis by Litvinenko Alexey, Samuli Saarinen, Litvinenko Anna

“…With the aim to enhance the predictive power of traditional financial models using alternative data sources, the paper outlines comprehensive guidelines with specific technical steps, from scripting an API to extracting data from Reddit and X, through cleaning and tokenising to incorporating the data into regression models using R programming. The study addresses the growing need in financial economics to incorporate alternative data streams by offering a structured, replicable process for transforming high-volume, unstructured online content into statistically valid variables, thereby bridging the gap between qualitative market sentiment and quantitative modelling.…”
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Optimization of Broiler Chicken Harvest Scheduling using Integer Linear Programming: A Case Study by Danang Setiawan, Hilmi Akbar Wijaya

“…This paper presents a framework of structured decision-making for poultry farms to obtain the highest possible profit and minimize loss occurrence by utilizing an optimal harvesting schedule.…”
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Penalized Intuitionistic Fuzzy Goal Programming Method for Solving Multi-Objective Decision-Making Problems by Demmelash Mollalign Moges, Berhanu Guta Wordofa, Allen Rangia Mushi

“…This research study focused on establishing a novel method by combining the penalty function method with an interactive goal programming methodology for addressing multi-objective decision-making problems in an intuitionistic fuzzy environment. …”
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Penalized Intuitionistic Fuzzy Goal Programming Method for Solving Multi-Objective Decision-Making Problems by Demmelash Mollalign Moges, Berhanu Guta Wordofa, Allen Rangia Mushi

“…This research study focused on establishing a novel method by combining the penalty function method with an interactive goal programming methodology for addressing multi-objective decision-making problems in an intuitionistic fuzzy environment. …”
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Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems by Tuong M. Vu, Charlotte Buckley, Hao Bai, Alexandra Nielsen, Charlotte Probst, Alan Brennan, Paul Shuper, Mark Strong, Robin C. Purshouse

“…The framework exploits the implicit ontology of an existing human-built generative model to propose and test a plurality of new candidate model structures. Genetic programming is used to automate this search process. …”
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Multi-Area Sampling-Based Spatiotemporal Trajectory Planning for Autonomous Driving in Dynamic On-Road Scenarios by Shuhuan Ma, Zhiqiang Ning, Lixin Wei, Pengpeng Chai

“…Finally, the effectiveness of the proposed trajectory planning method is demonstrated in different overtaking scenarios of structured roads.…”
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